prakhargurawa/Machine-Learning

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Created about 4 years ago
Updated about 3 years ago

prakhargurawa/Machine-Learning

prakhargurawa

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Trying different stuff with basic machine learning algorithms and its applications

Product-Category-Prediction

Machine learning pipeline to predict relevant categories based on a product name and product description, using NLP and Deep learning concepts.

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Drug-Similarity-and-Link-Prediction-using-Graph-Embeddings-on-Medical-Knowledge-Graph

Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.

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Vehicle-Detection-Classification-YOLO-MobileNet

Created a computer vision pipeline to detect and classify cars as SUVs or sedans using transfer learning on Mobilenet and object detection using YOLOv3.

Force-Directed-Graph-Layout

An interesting application of gradient descent aims to stabilize any input graph such that the forces applied on each node are minimum and the overall model is stable. Visualization is perform using NetworkX.

Drowsiness-Detection-OpenCV

Python application to assist drivers to alert when they feel drowsy and thus reduce the number of accidents.

Neural-Machine-Translation-Keras-Attention

Machine translation using LSTM Model. Created two translation models with/without attention mechanisms for translation between French-English and German-English.

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Data-Visualisation-Using-R

Visualization of some real-life dataset using different methodology using GGPlot (R)

Feature-Selection-Using-Genetic-Algorithm

Feature selection is performed using genetic algorithm to make a robust predictive model on the Boston dataset.

Question-Paraphrasing-System

The task is to generate paraphrased questions, that is questions that have the same meaning but are different in terms of the vocabulary and grammar of the sentence The training data is derived from the Datasets of Paraphrased SQuAD Questions and consists of 1,118 paraphrased questions. The evaluation consists of 100 questions also derived from the Stanford Question Answering Dataset

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Machine-Learning-Data-Science-Interview-Prepration

Some materials for ML/DS Interviews

Natural-Language-Processing

Learning techniques related to NLP

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Buddies

A social networking site created by using JSP,Adv.Java, HTML, CSS, AJAX, MySql with features likes sending a friend request, updating profile, posting on the wall, like, share, messaging friends, creating session. Core lang: Java

Django-Posting-Forum

A posting forum using django

Deep-Learning-Practice

Trying to learn deep learning in a more practical manner /focusing more on how to implement things and the core concepts on deep learning.

Jinni-Python-Search-Engine

Python Search Engine

Machine-Learning-A-Z

Source code from Udemy course Machine Learning A-Z By Kirill Eremenko and Hadelin de Ponteves

Generator-Optimizer

Trying to maximize the hourly energy production of number of genertors.

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CUDA_practice

CUDA programming practice

Information-Retrieval

Deep-Learning-A-Z

Source code from Udemy course Deep Learning A-Z By Kirill Eremenko and Hadelin de Ponteves

Image-Captioning-CNN-LSTM

CNN-LSTM based architecture to generate relevant captions for any input image, encompassing Vision Deep CNN and language generation RNN trained on COCO dataset.

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Titanic-Survival-Predictor

Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.

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Reinforcement-Learning

Work-related to Agents, Multi-Agents and Reinforcement Learning

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